Table 1. The evaluation performance of the models in the pipeline.

Random Forests (RF) Run				RF+Stepwise	RF+Ridge regression	RF+Lasso
#Iterations	Number of trees (ntree)	% Variance all (p) SNPs	% Variance k SNPs	Model significance (r-squared & p-values)	Model significance (%Variance)	Model significance (r-squared & p-values)
1	500	-0.67	8.58	0.088 & 4.965e-09	14.7	0.096 & 1.83e-09
2	1000	0.43	13.7	0.11 & 4.771e-11	17.83	0.10 & 8.1e-10
3	2000	0.23	16.66	0.111 & 5.4e-11	18.77	0.138 & 7.108e-13
4	3000	0.51	17.94	0.13 & 1.49e-12	17.5	0.16 & 6.61e-15